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Prozée, Randy (author)
The development of the Spiking Neural Network (SNN) offers great potential in combination with new types of event-based sensors, by exploiting the embedded temporal information. When combined with dedicated neuromorphic hardware it enables ultra-low power solutions and local on-chip learning. This work implements and presents a viable...
master thesis 2021
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Hao, Y. (author)
This thesis presents a digital baseband design for an upcoming wireless standards: IEEE 802.11ah. It is a branch of Wi-Fi (IEEE 802.11) standards. Compared with the previous Wi-Fi standards, this new standard has larger coverage range and consumes less energy. It is particularly suited for energy-constrained sensor applications. In contrast to...
master thesis 2015
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He, Y. (author)
This thesis discusses the basic principles, circuit implementation and measurements of an inverter-based capacitive-sensor interface based on period modulation. The interface employs an inverter-based OTA and comparator to increase the current efficiency. Moreover, it applies new circuit techniques to reduce the die size and to reduce noise. A...
master thesis 2014
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Chen, C. (author)
master thesis 2012
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Elsayed, A.H. (author)
In recent years, exciting new low-power design methods have been introduced, such as: multiple supply voltages, body bias techniques and power shut-off. In order to use these low power design methods, strict requirements for both libraries and tools are needed. An additional challenge is the introduction of more accurate characterization models...
master thesis 2012
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Hou, R. (author)
UWB-FM is a low-complexity ultra-wideband (UWB) communication system designed for short-range, low- and medium-data-rate wireless applications such as the personal area network (PAN). These applications often require simple, integrated receivers with low power consumption. Most of previous work utilized delay-line demodulators for UWB-FM...
master thesis 2008
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